Word2Vec Courses and Certifications

Yannic Kilcher

Word2Vec- Distributed Representations of Words and Phrases and Their Compositionality

Explore Word2Vec, a groundbreaking technique for creating word vectors. Learn about distributed representations, skip-gram model, negative sampling, and subsampling methods to improve vector quality and training efficiency.

• YouTube
• 31 minutes
• On-Demand
• Free Video

2025 Natural Language Processing in Python for Beginners

968 ratings at Udemy

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam, CV Parsing

• Udemy
• 1 day 14 hours 24 minutes
• On-Demand
• Paid Course

Gen AI Foundational Models for NLP & Language Understanding

28 ratings at Coursera

Learn to implement, train, and evaluate generative AI models for NLP using PyTorch. Covers document classification, language modeling, translation, and building language models. Includes hands-on labs for practical application.

• Coursera
• 7 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Advanced Semantic Processing

Master advanced semantic processing techniques for NLP, from fundamental concepts to distributional semantics, LSA, and Word2vec. Apply these skills to real-world scenarios and enhance your data analysis capabilities.

• Coursera
• 5 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Advanced NLP with Python for Machine Learning

567 ratings at LinkedIn Learning

Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Artificial Intelligence for Beginners: How ChatGPT Works

Explore the inner workings of ChatGPT and Large Language Models, covering neural networks, transformers, and key concepts in AI-powered text processing and generation.

• Skillshare
• 18 minutes
• On-Demand
• Free Trial Available

James Briggs

Intro to Dense Vectors for NLP and Vision

Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Natural Language Processing

Explore natural language processing (NLP) concepts, review Text preprocessing and data cleaning, learn forward propagation and back propagation in neural networks, Word Embedding using Keras and deep learning with examples

• YouTube
• 10 hours
• On-Demand
• Free Video

Modern Techniques for Better Search Relevance in Solr

Explore modern search relevance techniques beyond BM25, including machine learning and NLP. Learn to measure, fine-tune, and implement advanced methods like learning to rank and query intent classification in Apache Solr.

• YouTube
• 56 minutes
• On-Demand
• Free Video

OWASP Foundation

How NLP Can Help Us Understand Web Attackers - Applying Word2Vec to Web Application Security

Explore how NLP techniques like Word2Vec can be applied to web security, enabling better understanding of attack patterns, tool modeling, and enhanced threat detection.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Devoxx

Word Embeddings from Deep Space Nine using Machine Learning

Explore word embedding techniques using Star Trek Deep Space Nine scripts, from Bag of Words to BERT, with practical insights for production environments.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

Alfredo Canziani

Deep Learning for Natural Language Processing

Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Video

Security BSides San Francisco

Making Sense of Unstructured Threat Data

Explore how Natural Language Processing and Word2Vec can organize unstructured cybersecurity intelligence, making it actionable by mapping to frameworks like MITRE ATT&CK.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk

WeAreDevelopers

Bias in NLP

Exploring ethical implications of word embedding models in NLP, focusing on gender bias in occupational representations derived from Wikipedia data using word2vec algorithm.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

WeAreDevelopers

Using Text Embedding Algorithms in Recommender Systems

Explore text embedding algorithms' surprising effectiveness in recommendation systems, outperforming state-of-the-art models while offering efficiency for large-scale applications.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk